Knowledge Discovery and Data Mining from patient experience repositories
This project develops a scientific method to extract clinically relevant new information from patient forum websites that discuss patient experiences concerning e.g. medication, nutrition, co-morbidities, genetic factors etc.
- 2018 - 2022
- Wessel Kraaij
- SIDN fonds
Patient Forum Miner research programme
This PhD project, funded by the Dutch SIDN fonds , is part of the Patient Forum Miner (PFM) research programme . Patients often share experiences on internet forums. These experiences often contain valuable information for patients, medical specialists and researchers. This information is hidden in an abundance of messages for emotional support. The aim of the PFM programme is to extract the information which is of real value and to formulate hypotheses which can be input for further clinical research. The aim of this PhD project is to strengthen the scientific basis for the PFM method and develop methods for
validation of results found by the text mining process. The PhD candidate will focus on finding new clinically relevant patterns in patient forums using methods for automated
semantic annotation, data mining methods and cross-linking with curated knowledge. The end goal is to develop a scientific method for deriving new knowledge from patient
experiences. The project is a collaboration with the Leiden University Medical Center and is embedded in the Leiden University Data Science program.